Probabilistic logic programming under inheritance with overriding

  • Authors:
  • Thomas Lukasiewicz

  • Affiliations:
  • Institat und Ludwig Wittgenstein Labor für Informationssysteme, TU Wien, Vienna, Austria

  • Venue:
  • UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present probabilistic logic programming under inheritance with overriding. This approach is based on new notions of entailment for reasoning with conditional constraints, which are obtained from the classical notion of logical entailment by adding inheritance with overriding. This is done by using recent approaches to probabilistic default reasoning with conditional constraints. We analyze the semantic properties of the new entailment relations. We also present algorithms for probabilistic logic programming under inheritance with overriding, and we analyze its complexity in the propositional case.